Essays about: "encryption algorithm"
Showing result 1 - 5 of 68 essays containing the words encryption algorithm.
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1. XZDDF Bootstrapping in Fully Homomorphic Encryption
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Despite the vast research on the topic in recent years, fully homomorphic encryption schemes remain time-inefficient. The main bottleneck is the so-called bootstrapping, whose purpose is to reduce noise that has accumulated after having performed homomorphic operations on a ciphertext. READ MORE
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2. Homomorphic encryption
University essay from KTH/Matematik (Avd.)Abstract : The problem of constructing a secure encryption scheme that allows for computation on encrypted data was an open problem for more than 30 years. In 2009, Craig Gentry solved the problem, constructing the first fully homomorphic encryption (FHE) scheme. READ MORE
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3. Determining the Optimal Frequencies for a Duplicated Randomized Clock SCA Countermeasure
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Side-channel attacks pose significant challenges to the security of embedded systems, often allowing attackers to circumvent encryption algorithms in minutes compared to the trillions of years required for brute-force attacks. To mitigate these vulnerabilities, various countermeasures have been developed. READ MORE
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4. An operator theoretic approach to the Riemann Hypothesis
University essay from Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/MatematikcentrumAbstract : In 2023 an operator theoretic approach to the Prime Number Theorem was introduced by Olsen. In this thesis this approach is examined and applied to give a new, operator theoretic, proof of a different version of the Prime Number Theorem and of the Prime Number Theorem for arithmetic progressions. READ MORE
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5. Privacy-Preserving Alternating Direction Method of Multipliers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As machine learning models affect our lives more strongly every day, developingmethods to train these models becomes paramount. In our paper, we focus on the problem ofminimizing a sum of functions, which lies at the heart of most - if not all - of these trainingmethods. READ MORE